UNABLE TO PARSE TICKER
Opened this issue · 4 comments
josyjr25 commented
d3an commented
Can you attach the code?
josyjr25 commented
Hi:
here is the Code:. With daily the png files are OK with weekly or
monthly the .png files are corrupted. I have a feeling that FINVIZ is not
allowing to get to those chart
```
#!/usr/bin/python3
!pip install finviz~=1.4.4
from finviz.screener import Screener
from finviz.screener import Screener
import os
import datetime
Current_Date = datetime.datetime.today().strftime ('%d-%b-%Y')
# Create the Folder where the data ancharts are going to be stores
newpath = 'D:\\Users\\Jose
Mizrahi\\Documents\\finviz-master\\finviz-master\\'+'Breakout1
'+str(Current_Date)+'\\'
if not os.path.exists(newpath):
os.makedirs(newpath)
# Get dict of available filters
# filters dict contains the corresponding filter tags
filters = Screener.load_filter_dict()
filters = [
"cap_small",
"fa_sales5years_pos",
"sh_curvol_o200",
"sh_relvol_o1",
"ta_highlow52w_b0to10h",
"ta_sma50_pa",
"ta_volatility_mo3&ft=4&o=ticker"
]
stock_list = Screener(filters=filters, table="Performance")
print(stock_list)
# Monthly, Candles, Large, No Technical Analysis
stock_list.get_charts(period='w', chart_type='c', size='l', ta='1')
# period='d' > daily
# period='w' > weekly
# period='m' > monthly
# chart_type='c' > candle
# chart_type='l' > lines
# size='m' > small
# size='l' > large
# ta='1' > display technical analysis
# ta='0' > ignore technical analysis
print("Retrieving stock data...")
stock_data = stock_list.get_ticker_details()
print(stock_data)
os.chdir(newpath)
# Export the screener results to CSV file
stock_list.to_csv("JosyBreakout1.csv")
# Create a SQLite database
# stock_list.to_sqlite("sp500.sqlite")
```
josyjr25 commented
Hi James:
Have you found a solution to the weekly chart????
Regards,
José Mizrahi
El dom, 7 ago 2022 a las 9:05, JOSE MIZRAHI ***@***.***>)
escribió:
… Hi:
here is the Code:. With daily the png files are OK with weekly or
monthly the .png files are corrupted. I have a feeling that FINVIZ is not
allowing to get to those chart
#!/usr/bin/python3
!pip install finviz~=1.4.4
from finviz.screener import Screener
from finviz.screener import Screener
import os
import datetime
Current_Date = datetime.datetime.today().strftime ('%d-%b-%Y')
# Create the Folder where the data ancharts are going to be stores
newpath = 'D:\\Users\\Jose
Mizrahi\\Documents\\finviz-master\\finviz-master\\'+'Breakout1
'+str(Current_Date)+'\\'
if not os.path.exists(newpath):
os.makedirs(newpath)
# Get dict of available filters
# filters dict contains the corresponding filter tags
filters = Screener.load_filter_dict()
filters = [
"cap_small",
"fa_sales5years_pos",
"sh_curvol_o200",
"sh_relvol_o1",
"ta_highlow52w_b0to10h",
"ta_sma50_pa",
"ta_volatility_mo3&ft=4&o=ticker"
]
stock_list = Screener(filters=filters, table="Performance")
print(stock_list)
# Monthly, Candles, Large, No Technical Analysis
stock_list.get_charts(period='w', chart_type='c', size='l', ta='1')
# period='d' > daily
# period='w' > weekly
# period='m' > monthly
# chart_type='c' > candle
# chart_type='l' > lines
# size='m' > small
# size='l' > large
# ta='1' > display technical analysis
# ta='0' > ignore technical analysis
print("Retrieving stock data...")
stock_data = stock_list.get_ticker_details()
print(stock_data)
os.chdir(newpath)
# Export the screener results to CSV file
stock_list.to_csv("JosyBreakout1.csv")
# Create a SQLite database
# stock_list.to_sqlite("sp500.sqlite")
El mar, 2 ago 2022 a las 12:16, James Bury ***@***.***>)
escribió:
> Can you attach the code?
>
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josyjr25 commented
Hi Mario:
Could you help me with this error
I am also including my file
Regards,
José
[image: image.png]